error when running `view_savedmodel`

[ebrown996]

An error is produced when view_savedmodel is ran. The problem is with the line within the function code tf$python$platform$gfile . I think it is due to gfile being deprecated in the new TensorFlow release. For example:

x <- tf$Variable(10)
checkpoint <- tf$train$Checkpoint(x = x)
tf$saved_model$save(checkpoint, "./models/")
 
view_savedmodel("./models/")

Error in py_get_attr_impl(x, name, silent) :
AttributeError: 'module' object has no attribute 'gfile'

I am using version 2.0.0 of {tensorflow} with version 2.2.0 of 
My session information is:

R version 3.6.3 (2020-02-29)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS:   /usr/lib64/libblas.so.3.4.2
LAPACK: /opt/mango/R/3.6.3/lib/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] tensorflow_2.0.0  silver_0.2.7.9001 testthat_2.3.2   

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.3       compiler_3.6.3   pillar_1.4.3     git2r_0.26.1    
 [5] base64enc_0.1-3  tools_3.6.3      jsonlite_1.6.1   praise_1.0.0    
 [9] tibble_2.1.3     pkgconfig_2.0.3  rlang_0.4.5      cli_2.0.2       
[13] rstudioapi_0.11  curl_4.3         withr_2.1.2      stringr_1.4.0   
[17] dplyr_0.8.5      httr_1.4.1       vctrs_0.2.3      desc_1.2.0      
[21] fs_1.3.2         rappdirs_0.3.1   rprojroot_1.3-2  tidyselect_1.0.0
[25] reticulate_1.14  glue_1.3.1       R6_2.4.1         fansi_0.4.1     
[29] vapidr_0.0.4     purrr_0.3.3      logger_0.1       magrittr_1.5    
[33] whisker_0.4      backports_1.1.5  tfruns_1.4       assertthat_0.2.1
[37] stringi_1.4.6    crayon_1.3.4 

[gcaligari]

First of all, thank you for the great package.
I am also encountering an attribute error with view_savedmodel. However, mine is in regards to GraphDef.

I have tried running the exact same code snippet:

x <- tf$Variable(10)
checkpoint <- tf$train$Checkpoint(x = x)
tf$saved_model$save(checkpoint, "./models/")
 
view_savedmodel("./models/")

However the error I obtained is the following:

Error in py_get_attr_impl(x, name, silent) : 
  AttributeError: module 'tensorflow' has no attribute 'GraphDef'

I am using tensorflow version 2.4.0 along with R version 4.0.4